Advances on the artificial intelligence in diagnosis of retinal vascular disease

doi:10.3877/cma.j.issn.2095-2007.2021.03.009

Abstract

Abstract:

Currently, artificial intelligence (AI) is developing rapidly in disease diagnosis, detection and treatment. The early damage of diabetic retinopathy could be detected in time through the vascular changes of the retina. At present, the changes of retinal microvessels can be quickly identified and detected during the early systemic damage of this disease using AI technology. The convolutional neural network (CNN) of AI algorithm is capable of segmenting retinal vessels, identifying retinal arteries and veins and retinal vessels, and measuring their thickness, which provides a possibility to predict diabetic retinopathy at the first stage for patients and its prognosis.

Key words: Artificial intelligence, Retinal vessels, Vascular segmentation, Convolutional neural networks

Ning An, Xueying Ma, Yongjie Bai, Haishan Wang. Advances on the artificial intelligence in diagnosis of retinal vascular disease[J]. Chinese Journal of Ophthalmologic Medicine(Electronic Edition), 2021, 11(03): 178-182.

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